Experience: 10–12+ YearsLocation: Cairo, Egypt (Onsite)Employment Type: Full-TimeAbout The RoleNorthBay Solutions is seeking a Lead Data Scientist with deep expertise in GenAI, AI/ML, and enterprise architecture. This senior role will lead AI initiatives, mentor technical teams, and deliver complex AI solutions across cloud, on-premises, and hybrid environments.Key ResponsibilitiesLead the design and architecture of AI-powered enterprise solutions.Drive technical decisions across infrastructure, databases, APIs, microservices, and AI components.Lead Agentic AI, multi-agent systems, and RAG workflow implementations.Deploy LLMs and GenAI applications in production environments.Provide guidance on prompt engineering, Chain-of-Thought, and advanced AI/ML techniques.Integrate AI/ML models with enterprise systems for high performance and scalability.Mentor and manage technical teams, ensuring knowledge transfer and best practices.Lead AI/ML projects from conceptualization to delivery, including cloud and hybrid deployments.Technical RequirementsGenAI Expertise: 3+ years hands-on experience with LLM fine-tuning and production deployment.AI/ML & Enterprise Architecture: 5+ years in Python, TensorFlow, PyTorch, full-stack development, Kubernetes, SQL/NoSQL databases, APIs, and microservices.Cloud & Deployment: Strong experience with AWS/Azure/GCP, SageMaker, Bedrock, Lambda, API Gateway.DevOps & CI/CD: Experience managing pipelines for ML/AI production systems.Preferred QualificationsCloud certifications (Solutions Architect + ML Specialty preferred).Agile/Scrum leadership experience.Excellent communication skills bridging business and technical stakeholders.
Public work matters more than titles: a GitHub or portfolio the hiring manager can click through in under a minute usually beats an extra bullet on your CV.
Name the exact stack in your CV so a keyword screener + a skim-reader both find it — languages, frameworks, cloud, databases.
For interviews: expect a technical screen (coding or system design) before the on-site loop. Practice explaining trade-offs out loud, not just writing correct code.
For English-only teams verify your written English is sharp — most Egypt-based tech scaleups run interview loops entirely in English.